R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested varying effects for mixtures of generalized linear models and multinomial regression for a-priori probabilities given concomitant variables are introduced. The use of the software in addition to model selection is demonstrate...

background: this was a retrospective cephalometric study to develop a more precise estimation of soft tissue changes related to underlying tooth movment than simple relatioship betweenhard and soft tissues. materials and methods: the lateral cephalograms of 61 adult patients undergoing orthodontic treatment (31 = premolar extraction, 31 = nonextraction) were obtained, scanned and digitized befo...

Multiple linear regressions are used to relate average annual runoff to average annual rainfall and areal potential evapotranspiration (PET) using data from 213 catchments grouped according to location in six of the major Drainage Divisions of Australia. A method is presented for estimating daily runoff from daily rainfall data using the AWBM model, which self-calibrates its surface storage par...

We propose a Bayesian method for variable selection in the finite mixture model of linear regressions. The model assumes that the observations come from a heterogeneous population which is a mixture of a finite number of sub-populations. Within each sub-population, the response variable can be explained by a linear regression on the predictor variables. So the whole data set can be modeled by a...

The objective of voice conversion is to transform the voice of one speaker to make it sound like another. The GMM-based statistical mapping technique has been proved to be an efficient method for converting voices [1, 2]. In a recent work [3], we generalized this technique to Mixture of Probabilistic Linear Regressions (MPLR) by using general mixture model of source vectors. In this paper, we i...

Regression analysis is a widely used statistical technique to build model from set of data on two or more variables. Linear regression based linear correlation, and assumes that change in one variable accompanied by proportional another variable. Simple regression, bivariate for predicting the value (predictor); however, multiple which enables us analyse than predictor variable, commonly used. ...

あらまし 本論文では二つの特徴空間の写像を学習する確率的線形回帰混合モデル(MPLR)を提案する。MPLRは 複数の確率的線形回帰モデルを重み付きで混合することで構成されており、そのパラメータは行列計算によって推定 可能である。MPLRは混合モデルであるため、非線形写像を取り扱う事ができる。またMPLRは一般化された定式 化であるため、確率密度として特定のモデルを要求しない。よく知られている GMMを用いた音声変換法 [1], [2]は MPLRの特別な場合と解釈でき、MPLRによる一般化によって、GMMに基づく音声変換法を改良することが可能と なる。[1]に対しては、MPLR の定式化を用いることで、複雑な一次方程式の解探索を避け、より高速なパラメータ推 定が可能になる。更にMPLRは [2]に存在する暗黙の問題を解決する事ができる。我々は音声変換タスクで提案手法 と従来のGMM法...

background: it is necessary to consider into hospital emergency services' quantity and quality in different aspects such as time-to-provider, left-without-treatment and length-of-stay. the aimof this research was to identify the effect of these factors on patient satisfaction in training hospitals. methods: in this descriptive-analytical and cross-sectional study, the sample size was calculated...

This study aimed to typify smallholders’ dairy systems using quali-quantitative measures of feeding practices and detect the main discriminatory elements identifying systems. We collected data from 30 farms distributed in 10 municipalities eastern region Rio Grande do Sul, Brazil, a survey with semi-structured questions, addition bimonthly observations milking practices. Multivariate analysis b...

Motivation Systems immunology leverages recent technological advancements that enable broad profiling of the immune system to better understand the response to infection and vaccination, as well as the dysregulation that occurs in disease. An increasingly common approach to gain insights from these large-scale profiling experiments involves the application of statistical learning methods to pre...